Senior AI Backend Engineer — LLMs, RAG & APIs

Navan; United States; In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Navan seeks an AI Engineer to advance backend systems for travel and expense products. You will design scalable services and integrate AI capabilities including LLMs, RAG, and conversational interfaces into consumer-facing features.

You'll collaborate with AI specialists and product teams to deliver reliable, high-performance, secure AI-powered solutions and influence architectural decisions across the platform.

Competenze

• 5+ years of backend engineering experience.
• Proficiency in at least one backend language (Java).
• Experience building production-grade APIs and microservices.
• Solid understanding of distributed systems, data structures, and algorithms.
• Experience with SQL and NoSQL databases.
• Track record of delivering consumer-facing products at scale.
• Experience with AI/ML platforms and services (OpenAI, Hugging Face).
• Familiarity with LLMs, RAG, or conversational AI.
• Knowledge of vector databases and embedding technologies.
• Experience with cloud platforms (AWS, GCP, Azure).
• Understanding of AI/ML concepts and implementation patterns.

Mansioni

• Design and develop scalable, high-performance backend services and APIs.
• Implement integrations with AI platforms and services.
• Work with AI specialists to translate AI capabilities into production-ready features.
• Ensure high reliability, performance, and security of AI-powered systems.
• Collaborate with product and engineering teams to gather requirements and deliver solutions.

Conoscenze

Backend engineering

Java

APIs & microservices

Distributed systems

Data structures & algorithms

SQL & NoSQL databases

AI/ML concepts

LLMs / RAG / conversational AI

Vector databases & embeddings

Cloud platforms (AWS/GCP/Azure)

Strumenti

OpenAI

Hugging Face

Descrizione del lavoro

Navan seeks an AI Engineer to advance backend systems for travel and expense products. You will design scalable services and integrate AI capabilities including LLMs, RAG, and conversational interfaces into consumer-facing features.

You'll collaborate with AI specialists and product teams to deliver reliable, high-performance, secure AI-powered solutions and influence architectural decisions across the platform.